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Advanced Lidar Remote Sensing for Atmosphere, Vegetation, and Ocean Observations

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 490

Special Issue Editors


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Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 4730079, China
Interests: atmospheric aerosol–PBL–cloud interaction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Marine Technology, Faculty of Information and Engineering, Ocean University of China, Qingdao 266100, China
Interests: lidar remote sensing; single-photon detection; space-borne lidar modeling and data processing
School of Electronic Information, Wuhan University, Wuhan, China
Interests: data processing and analysis of satellite lidar; vegetation inventory with satellite lidar
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 4730079, China
Interests: lidar remote sensing; oceanic lidar; lidar system design
Special Issues, Collections and Topics in MDPI journals
School of Electronic Information, Wuhan University, Wuhan, China
Interests: lidar signal modelling and system simulation; signal processing and calibration/validation; coastal applications for satellite laser altimetry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is a great pleasure to present this Special Issue, titled “Advanced Lidar Remote Sensing for Atmosphere, Vegetation, and Ocean Observations”, of the journal Remote Sensing.

As an advanced technology, lidar has attracted increasing interest as a topic of research in recent years. With the development of lidar hardware, the science and technology of lidar remote sensing is rapidly developing, with substantial output of meaningful scientific achievements. Given the wide applications of lidar remote sensing in the fields of atmosphere, vegetation, ocean, and surveying and mapping, the development of lidar remote sensing has ushered in great opportunities and challenges. As a result, the main goal of this Special Issue is to summarize achievements in the development of lidar remote sensing especially satellite lidars, discuss and look forward to the future directions of development, and promote the rapid applications of lidar remote sensing in different fields.

This Special Issue is particularly encouraging submissions on the methods and applications of advanced lidar remote sensing for retrieving atmosphere parameters, monitoring environmental quality, estimating vegetation status from leaf and canopy, obtaining ocean dynamics and even bathymetry, etc. Related advanced hardware designs for ground-based, airborne, and space-based lidar sensors are also of interest, including but not limited to the photon-counting lidar (PCL), high-spectral-resolution lidar (HSRL), etc. In summary, this Special Issue invites submissions exploring cutting-edge research and recent advances in the fields of lidar remote sensing. Both theoretical and experimental studies are welcome, as are comprehensive review and survey papers.

Dr. Boming Liu
Dr. Zhiyu Zhang
Dr. Hui Zhou
Dr. Xin Ma
Dr. Yue Ma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lidar remote sensing
  • aerosol and clouds
  • boundary layer
  • leaf and canopy
  • lidar bathymetry
  • photon-counting lidar
  • high-spectral-resolution lidar

Published Papers (1 paper)

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Research

15 pages, 8483 KiB  
Article
Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR
by Jiafeng Zheng, Yihua Liu, Tingwei Peng, Xia Wan, Xuan Huang, Yuqi Wang, Yuzhang Che and Dongbei Xu
Remote Sens. 2024, 16(11), 1840; https://doi.org/10.3390/rs16111840 - 22 May 2024
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Abstract
Knowledge of wind field characteristics and variation principles in complex topographical regions is of great importance for the development of numerical prediction models, aviation safety support, and wind energy utilization. However, there has been limited research focused on the lower-tropospheric wind fields in [...] Read more.
Knowledge of wind field characteristics and variation principles in complex topographical regions is of great importance for the development of numerical prediction models, aviation safety support, and wind energy utilization. However, there has been limited research focused on the lower-tropospheric wind fields in the Qinghai-Tibet Plateau. This paper aims to study the wind characteristics, vertical distributions, and temporal variations in the northeast of the plateau by analyzing a four-year continuous dataset collected from a Doppler wind LiDAR deployed in Xining, Qinghai Province of China. The results indicate that the prevailing horizontal wind direction in the low levels is primarily influenced by the mountain-valley wind circulation. However, as the altitude increases, the prevailing winds are predominantly affected by the westerlies. From a diurnal perspective, noticeable transition processes between up-valley and down-valley winds can be observed. The west-northwest wind (down-valley wind) dominates from late night to morning, while the east-southeast wind (up-valley wind) prevails from afternoon to early evening. The vertical winds in the low levels exhibit a downward motion during the daytime and an upward motion during the nighttime. In this plateau valley, the wind shear exponent is found to be highest in spring and lowest in winter, and it is generally lower during the daytime compared to the nighttime. Full article
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